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  • CTN: Kenneth Harris

    Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States

    Title: Multidimensional structure of activity in transcriptomically identified cortical cell types Abstract: The cerebral cortex is comprised of hundreds of distinct cell types, connected into a network that underpins cognition.  To characterize the geometry of population activity in these cells, we recorded from thousands of neurons simultaneously in mouse visual cortex, and used post-hoc in…

  • Workshop on Emerging Trends in AI

    Pulitzer Hall 2950 Broadway, New York, NY, United States

    May 5th and 6th 8:30am to 5:30pm Pulitzer Hall - 2950 Broadway New York, NY 10027 This two-day workshop brings together leading experts in machine learning (ML) and neuroscience to examine two emerging themes: (1) the relationship between brain resilience and algorithmic robustness, and (2) the role of ML-driven data generation in social sciences and…

  • ARNI Emerging Researchers Talk Series #3: Matteo Alleman

    Title: Discovery of categorical concepts Abstract: We seem to like reasoning in terms of discrete, logical categories, even in the face of continuous variation. A generous interpretation of this phenomenon is that we create abstractions about the world which enable powerful generalization to new situations -- once I know what "hot-and-sour" is, I can instantly…

  • CTN: Stephanie Palmer

    Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States

    Title: How behavioral and evolutionary constraints sculpt early visual processing   Abstract: Biological systems must selectively encode partial information about the environment, as dictated by the capacity constraints at work in all living organisms. For example, we cannot see every feature of the light field that reaches our eyes; temporal resolution is limited by transmission…

  • CTN: Gaia Tavoni

    Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States

    Title: A Unified Framework for Sensory Coding in Feedback-Modulated Canonical Networks Abstract: In recent decades, the principles of neural coding have largely been studied at the level of single neurons or unimodal sensory networks. However, brain networks interact in complex ways, often integrating information across sensory modalities. Notably, we lack a theoretical framework for understanding coding in…

  • CTN: Erin Rich

    Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States

    Title: Dynamics of evaluation and choice in the orbitofrontal cortex   Abstract: The orbitofrontal cortex is known to be important for evaluation, choice, and motivated behavior, but theories on its precise…

  • CTN: Shaul Druckmann

    Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States

    Title: Neural dynamics of short term memory, from mice to human speech Abstract: Neural dynamics represent the hard-to-interpret substrate of circuit computations. Advances in large-scale recordings have highlighted the sheer spatiotemporal complexity…